Multi-Modal Face Authentication with IR Liveness Detection
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Solution Overview
Problem
Existing authentication methods, such as face recognition, can lead to unwanted auto-login in the presence of others and can be compromised by unauthorized use of user photos, lacking multi-modal verification to ensure secure access.
Innovation Solution
A computing device employs a processor to execute behaviors only after receiving a combination of inputs, including face recognition, infrared sensing, user-defined facial expressions, or physical gestures, allowing users to select and define multi-modal authentication protocols ensuring secure access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If face recognition is used for authentication, then authentication speed is improved, but security deteriorates due to unwanted auto-login and photo compromise
Solution Approach 1:
The patent combines face recognition with infrared sensing and facial expression detection into a multi-modal authentication system. The processor requires multiple input types (visible face image, IR signal magnitude, facial expression match) to be satisfied simultaneously, creating a unified authentication mechanism that maintains speed while improving security through layered verification
Solution Approach 2:
The patent introduces infrared sensing as an intermediary layer between the visible face recognition and the final authentication decision. The IR sensor detects thermal radiation patterns that serve as a mediator to verify liveness, preventing photo-based attacks while maintaining the convenience of face-based authentication
2Reliability
If multiple input modes are required for authentication, then security is improved, but device complexity increases
Solution Approach 1:
The patent makes the existing camera and sensor components perform multiple functions: the camera captures both visible light images for face recognition and infrared signals for thermal detection, while also detecting facial expressions. This multi-functionality approach increases security through multiple verification layers without requiring separate dedicated hardware for each authentication modality
Solution Approach 2:
The patent merges the processing of multiple authentication inputs (face image matching, IR signal threshold checking, facial expression recognition) into a single integrated processor decision logic. The processor evaluates all inputs simultaneously and makes one unified authentication determination, reducing operational complexity despite the multi-modal nature of the system
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances security by requiring multiple verified inputs, preventing unauthorized access and ensuring that only the authorized user can unlock the device, even when images are used for authentication.
Implementation Method 1
face recognition in combination with infrared (IR) sensing
Data Source
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AI summary
A user can define a gesture-based input mode with respective input value to establish an authentication protocol to unlock a computer or govern other computer behavior. As an alternative or in addition, the user can define a second input mode based on face recognition plus IR sensing satisfying a threshold to ensure a live person is being imaged for authentication, and/or face recognition plus a particular facial expression such as a smile and wink.